activity
20152024
most citedRobust Physical-World Attacks on Deep Learning Models

491 citations · 1k across the 20 of their papers we have counts for

collaborators

21 papers

cs.CR2024★ 1 cited

Attacking the Diebold Signature Variant -- RSA Signatures with Unverified High-order Padding

Ryan W. Gardner, Tadayoshi Kohno, Alec Yasinsac

We examine a natural but improper implementation of RSA signature verification deployed on the widely used Diebold Touch Screen and Optical Scan voting machines. In the implemented…

cs.CY2023★ 1 cited

Is the U.S. Legal System Ready for AI's Challenges to Human Values?

Inyoung Cheong, Aylin Caliskan, Tadayoshi Kohno

Our interdisciplinary study investigates how effectively U.S. laws confront the challenges posed by Generative AI to human values. Through an analysis of diverse hypothetical scena…

cs.CR2023★ 6 cited

LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins

Umar Iqbal, Tadayoshi Kohno, Franziska Roesner

Large language model (LLM) platforms, such as ChatGPT, have recently begun offering an app ecosystem to interface with third-party services on the internet. While these apps extend…

cs.CR2023★ 5 cited

Ethical Frameworks and Computer Security Trolley Problems: Foundations for Conversations

Tadayoshi Kohno, Yasemin Acar, Wulf Loh

The computer security research community regularly tackles ethical questions. The field of ethics / moral philosophy has for centuries considered what it means to be "morally good"…

cs.HC2023★ 19 cited

"There's so much responsibility on users right now:" Expert Advice for Staying Safer From Hate and Harassment

Miranda Wei, Sunny Consolvo, Patrick Gage Kelley +3

Online hate and harassment poses a threat to the digital safety of people globally. In light of this risk, there is a need to equip as many people as possible with advice to stay s…

cs.CR2022

Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance

Ashish Hooda, Andrey Labunets, Tadayoshi Kohno +1

Content scanning systems employ perceptual hashing algorithms to scan user content for illegal material, such as child pornography or terrorist recruitment flyers. Perceptual hashi…